Reducing Idleness in Financial Cloud Services via Multi-objective
Evolutionary Reinforcement Learning based Load Balancer

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Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer

5 May 2023

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Papers citing "Reducing Idleness in Financial Cloud Services via Multi-objective Evolutionary Reinforcement Learning based Load Balancer"

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Title
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 233 2 0 12 Jan 2025
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization Hao Hao Xiaoqun Zhang Aimin Zhou 125 17 0 21 Sep 2023
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms Chao Bian Yawen Zhou Mingxing Li Chao Qian 55 34 0 05 Jun 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 95 53 0 07 Mar 2023
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles Shengcai Liu Fu Peng Jiaheng Zhang AAML 61 11 0 23 Nov 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 138 42 0 22 Sep 2022
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing Fuhong Song Huanlai Xing Xinhan Wang Shouxi Luo Penglin Dai Zhiwen Xiao Bowen Zhao 43 56 0 24 Feb 2022
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization Shengcai Liu Ning Lu W. Hong Chao Qian Ke Tang AAML 64 15 0 02 Nov 2021
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences Chao Qian Danyang Liu Chao Feng K. Tang 29 13 0 20 Apr 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 122 42 0 10 Feb 2021
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 110 14 0 16 Oct 2019
On the Robustness of Median Sampling in Noisy Evolutionary Optimization Chao Bian Chao Qian Yang Yu Ke Tang 28 14 0 28 Jul 2019
Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels D. Roijers Tom Lenaerts A. Nowé Denis Steckelmacher OffRL 67 163 0 20 Sep 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 80 95 0 06 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 57 19 0 25 Jun 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 526 19,237 0 20 Jul 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 104 1,541 0 10 Mar 2017